<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "PENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK\r\nUNTUK PENGENALAN KARAKTER TULISAN TANGAN"^^ . "This study aims to develop a Convolutional Neural Network (CNN)\r\nModel for the imposition of handwritten characters. Old documents that have\r\nimportant information are usually easily damaged because they are stored on paper\r\nmedia. The role of handwriting recognition is to convert the information contained\r\nin the document into a digital format that can be stored for a long time.\r\nThis study uses 3 types of data, namely training data, validation data\r\nand test data. Training data and test data are obtained from the Kaggle public\r\ndataset. While the test data is made by the author himself. The training data and\r\nvalidation data are then used to develop the CNN model, and the test data is\r\npreprocessed to produce images that are ready to be recognized by the CNN model.\r\nThe test results show that the best CNN Model Architecture for\r\nalphabetic handwritten character recognition is the Fourth Scenario CNN\r\nArchitecture Model which obtained validation data accuracy of 96.47% and test\r\ndata accuracy (alphabet) of 93.05%. The best CNN Model Architecture for\r\nrecognizing alphabet and numeric handwritten characters is the Third Scenario\r\nCNN Architecture Model which obtained validation data accuracy of 94.70% and\r\ntest data accuracy (alphabets and numbers) of 81.28%. A test data preprocessing\r\nalgorithm was also developed which succeeded in producing 93.18% of the images\r\nrecognized in the alphabetic test data image, and succeeded in producing 93.63%\r\nof the recognized images in the alphabetic and numeric test data images."^^ . "2021-06-24" . . . . "UIN SUNAN KALIJAGA YOGYAKARTA"^^ . . . "FAKULTAS SIANS DAN TEKNOLOGI, UIN SUNAN KALIJAGA YOGYAKARTA"^^ . . . . . . . . . "NIM. 17106050014"^^ . "SETO RAHARDYANTO"^^ . "NIM. 17106050014 SETO RAHARDYANTO"^^ . . . . . . "PENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK\r\nUNTUK PENGENALAN KARAKTER TULISAN TANGAN (Text)"^^ . . . . . "17106050014_BAB-I_IV-atau-V_DAFTAR-PUSTAKA.pdf"^^ . . . "PENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK\r\nUNTUK PENGENALAN KARAKTER TULISAN TANGAN (Text)"^^ . . . . . "PENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK\r\nUNTUK PENGENALAN KARAKTER TULISAN TANGAN (Other)"^^ . . . . . . "PENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK\r\nUNTUK PENGENALAN KARAKTER TULISAN TANGAN (Other)"^^ . . . . . . "PENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK\r\nUNTUK PENGENALAN KARAKTER TULISAN TANGAN (Other)"^^ . . . . . . "PENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK\r\nUNTUK PENGENALAN KARAKTER TULISAN TANGAN (Other)"^^ . . . . . . "PENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK\r\nUNTUK PENGENALAN KARAKTER TULISAN TANGAN (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "PENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK\r\nUNTUK PENGENALAN KARAKTER TULISAN TANGAN (Other)"^^ . . . . . . "preview.jpg"^^ . . . "PENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK\r\nUNTUK PENGENALAN KARAKTER TULISAN TANGAN (Other)"^^ . . . . . . "medium.jpg"^^ . . . "PENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK\r\nUNTUK PENGENALAN KARAKTER TULISAN TANGAN (Other)"^^ . . . . . . "small.jpg"^^ . . "HTML Summary of #47014 \n\nPENERAPAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK \nUNTUK PENGENALAN KARAKTER TULISAN TANGAN\n\n" . "text/html" . . . "Tehnik Informatika"@en . .